Description of content image

ABSTRACT

One embodiment provides a method, including: receiving, at an information handling device, user input, wherein the user input comprises an indication to perform a function associated with content comprising at least one image; analyzing, using a processor, the at least one image to determine at least one characteristic associated with the at least one image; and providing, based on the analyzing, output describing the at least one characteristic of the at least one image. Other aspects are described and claimed.

BACKGROUND

Information handling devices (“devices”), for example smart phones,tablet devices, laptop computers, personal computers, and the like, maybe capable of receiving and processing user command inputs, for example,input via an audio capture device, manual input device, and the like.Generally, for a voice command, a user interacts with a voice inputmodule, for example, embodied in a personal assistant, through use ofnatural language. The personal assistant allows a device to receivevoice inputs (e.g., voice commands, etc.), process those requests, andperform the user's desired actions by carrying out the requested actionitself or delegating user requests to a desired application.

BRIEF SUMMARY

In summary, one aspect provides a method, comprising: receiving, at aninformation handling device, user input, wherein the user inputcomprises an indication to perform a function associated with contentcomprising at least one image; analyzing, using a processor, the atleast one image to determine at least one characteristic associated withthe at least one image; and providing, based on the analyzing, outputdescribing the at least one characteristic of the at least one image.

Another aspect provides an information handling device, comprising: aprocessor; a memory device that stores instructions executable by theprocessor to: receive user input, wherein the user input comprises anindication to perform a function associated with content comprising atleast one image; analyze the at least one image to determine at leastone characteristic associated with the at least one image; andproviding, based on the analyzing, output describing the at least onecharacteristic of the at least one image.

A further aspect provides a product, comprising: a storage device thatstores code, the code being executable by a processor and comprising:code that receives user input, wherein the user input comprises anindication to perform a function associated with content comprising atleast one image; code that analyzes the at least one image to determineat least one characteristic associated with the at least one image; andcode that provides, based on the code that analyzes, output describingthe at least one characteristic of the at least one image.

The foregoing is a summary and thus may contain simplifications,generalizations, and omissions of detail; consequently, those skilled inthe art will appreciate that the summary is illustrative only and is notintended to be in any way limiting.

For a better understanding of the embodiments, together with other andfurther features and advantages thereof, reference is made to thefollowing description, taken in conjunction with the accompanyingdrawings. The scope of the invention will be pointed out in the appendedclaims.

BRIEF DESCRIPTION OF THE SEVERAL VIEWS OF THE DRAWINGS

FIG. 1 illustrates an example of information handling device circuitry.

FIG. 2 illustrates another example of information handling devicecircuitry.

FIG. 3 illustrates an example method of describing an image present incontent.

FIG. 4 illustrates an example of an image in content that may be vocallydescribed.

FIG. 5 illustrates an example of another image in content that may bevocally described.

DETAILED DESCRIPTION

It will be readily understood that the components of the embodiments, asgenerally described and illustrated in the figures herein, may bearranged and designed in a wide variety of different configurations inaddition to the described example embodiments. Thus, the following moredetailed description of the example embodiments, as represented in thefigures, is not intended to limit the scope of the embodiments, asclaimed, but is merely representative of example embodiments.

Reference throughout this specification to “one embodiment” or “anembodiment” (or the like) means that a particular feature, structure, orcharacteristic described in connection with the embodiment is includedin at least one embodiment. Thus, the appearance of the phrases “in oneembodiment” or “in an embodiment” or the like in various placesthroughout this specification are not necessarily all referring to thesame embodiment.

Furthermore, the described features, structures, or characteristics maybe combined in any suitable manner in one or more embodiments. In thefollowing description, numerous specific details are provided to give athorough understanding of embodiments. One skilled in the relevant artwill recognize, however, that the various embodiments can be practicedwithout one or more of the specific details, or with other methods,components, materials, et cetera. In other instances, well knownstructures, materials, or operations are not shown or described indetail to avoid obfuscation.

Users frequently utilize devices to execute a variety of differentcommands. One method of interacting with a device is to use digitalassistant software employed on the device (e.g., Siri® for Apple®,Cortana® for Windows®, Alexa® for Amazon®, etc.). A common commandreceived by digital assistants is to output the contents of a particularfile or content (e.g., an electronic book, an article, a website, asocial media post, etc.). Oftentimes, the content may contain one ormore images.

Conventionally, providing output of images is done through a displayscreen associated with the device. However, these conventional methodsrequire both a display screen and a user to interact with the displayscreen to visualize the displayed contents. Some systems may not includea display screen, for example, a standalone digital assistant device maynot include a dedicated display screen, a smart speaker, and the like.Additionally, even if a device includes or has access to a display, auser may be unable to interact with the display. For example, a user maybe engaged in an activity where either their hands, visual focus, orboth are required elsewhere (e.g., while driving, exercising, etc.). Inanother example, a user may be blind, or have limited vision, and may beunable to see, identify, and/or understand the displayed content. Thereare currently no existing solutions capable of assisting a user invisualizing the contents of an image without using a display screen.

Accordingly, an embodiment provides a method for audibly describingcharacteristics associated with an image. In an embodiment, user inputcomprising an indication to perform a function on or associated withcontent may be received at a device. The content may contain at leastone image (e.g., picture, graph, chart, icon, video, etc.). Subsequentto receiving the user input, an embodiment may analyze an image in thecontent to determine characteristics associated with the image (e.g.,individuals in the image, objects in the image, origin date of theimage, etc.). An embodiment may then provide output (e.g., audiblenatural language output, etc.) describing the determined characteristicsassociated with the image. Such a method may enable users to receive adescription of an image in content when interacting with a device thatis unable to display the image on a screen.

The illustrated example embodiments will be best understood by referenceto the figures. The following description is intended only by way ofexample, and simply illustrates certain example embodiments.

While various other circuits, circuitry or components may be utilized ininformation handling devices, with regard to smart phone and/or tabletcircuitry 100, an example illustrated in FIG. 1 includes a system on achip design found for example in tablet or other mobile computingplatforms. Software and processor(s) are combined in a single chip 110.Processors comprise internal arithmetic units, registers, cache memory,busses, I/O ports, etc., as is well known in the art. Internal bussesand the like depend on different vendors, but essentially all theperipheral devices (120) may attach to a single chip 110. The circuitry100 combines the processor, memory control, and I/O controller hub allinto a single chip 110. Also, systems 100 of this type do not typicallyuse SATA or PCI or LPC. Common interfaces, for example, include SDIO andI2C.

There are power management chip(s) 130, e.g., a battery management unit,BMU, which manage power as supplied, for example, via a rechargeablebattery 140, which may be recharged by a connection to a power source(not shown). In at least one design, a single chip, such as 110, is usedto supply BIOS like functionality and DRAM memory.

System 100 typically includes one or more of a WWAN transceiver 150 anda WLAN transceiver 160 for connecting to various networks, such astelecommunications networks and wireless Internet devices, e.g., accesspoints. Additionally, devices 120 are commonly included, e.g., an imagesensor such as a camera. System 100 often includes a touch screen 170for data input and display/rendering. System 100 also typically includesvarious memory devices, for example flash memory 180 and SDRAM 190.

FIG. 2 depicts a block diagram of another example of informationhandling device circuits, circuitry or components. The example depictedin FIG. 2 may correspond to computing systems such as the THINKPADseries of personal computers sold by Lenovo (US) Inc. of Morrisville,N.C., or other devices. As is apparent from the description herein,embodiments may include other features or only some of the features ofthe example illustrated in FIG. 2.

The example of FIG. 2 includes a so-called chipset 210 (a group ofintegrated circuits, or chips, that work together, chipsets) with anarchitecture that may vary depending on manufacturer (for example,INTEL, AMD, ARM, etc.). INTEL is a registered trademark of IntelCorporation in the United States and other countries. AMD is aregistered trademark of Advanced Micro Devices, Inc. in the UnitedStates and other countries. ARM is an unregistered trademark of ARMHoldings plc in the United States and other countries. The architectureof the chipset 210 includes a core and memory control group 220 and anI/O controller hub 250 that exchanges information (for example, data,signals, commands, etc.) via a direct management interface (DMI) 242 ora link controller 244. In FIG. 2, the DMI 242 is a chip-to-chipinterface (sometimes referred to as being a link between a “northbridge”and a “southbridge”). The core and memory control group 220 include oneor more processors 222 (for example, single or multi-core) and a memorycontroller hub 226 that exchange information via a front side bus (FSB)224; noting that components of the group 220 may be integrated in a chipthat supplants the conventional “northbridge” style architecture. One ormore processors 222 comprise internal arithmetic units, registers, cachememory, busses, I/O ports, etc., as is well known in the art.

In FIG. 2, the memory controller hub 226 interfaces with memory 240 (forexample, to provide support for a type of RAM that may be referred to as“system memory” or “memory”). The memory controller hub 226 furtherincludes a low voltage differential signaling (LVDS) interface 232 for adisplay device 292 (for example, a CRT, a flat panel, touch screen,etc.). A block 238 includes some technologies that may be supported viathe LVDS interface 232 (for example, serial digital video, HDMI/DVI,display port). The memory controller hub 226 also includes a PCI-expressinterface (PCI-E) 234 that may support discrete graphics 236.

In FIG. 2, the I/O hub controller 250 includes a SATA interface 251 (forexample, for HDDs, SDDs, etc., 280), a PCI-E interface 252 (for example,for wireless connections 282), a USB interface 253 (for example, fordevices 284 such as a digitizer, keyboard, mice, cameras, phones,microphones, storage, other connected devices, etc.), a networkinterface 254 (for example, LAN), a GPIO interface 255, a LPC interface270 (for ASICs 271, a TPM 272, a super I/O 273, a firmware hub 274, BIOSsupport 275 as well as various types of memory 276 such as ROM 277,Flash 278, and NVRAM 279), a power management interface 261, a clockgenerator interface 262, an audio interface 263 (for example, forspeakers 294), a TCO interface 264, a system management bus interface265, and SPI Flash 266, which can include BIOS 268 and boot code 290.The I/O hub controller 250 may include gigabit Ethernet support.

The system, upon power on, may be configured to execute boot code 290for the BIOS 268, as stored within the SPI Flash 266, and thereafterprocesses data under the control of one or more operating systems andapplication software (for example, stored in system memory 240). Anoperating system may be stored in any of a variety of locations andaccessed, for example, according to instructions of the BIOS 268. Asdescribed herein, a device may include fewer or more features than shownin the system of FIG. 2.

Information handling device circuitry, as for example outlined in FIG. 1or FIG. 2, may be used in devices such as tablets, smart phones,personal computer devices generally, and/or electronic devices which mayinclude digital assistants that a user may interact with and that mayperform various functions responsive to receiving user input. Forexample, the circuitry outlined in FIG. 1 may be implemented in a tabletor smart phone embodiment, whereas the circuitry outlined in FIG. 2 maybe implemented in a personal computer embodiment.

Referring now to FIG. 3, an embodiment may provide audible outputdescribing characteristics associated with an image in a particularpiece of content. At 301, an embodiment may receive input from at leastone user. The input may be received at an input device (e.g., audiocapture device, image capture device, video capture device, physicalkeyboard, on-screen keyboard, a digital assistant, etc.) and may beprovided by any known method of providing input to an electronic device(e.g., voice input, gesture input, touch input, text input, etc.). In anembodiment, the input may be received at an electronic device that doesnot have a display screen. For ease of readability, the majority of thediscussion herein will involve an electronic device without a displayscreen (e.g., a smart speaker such as Alexa® for Amazon®, etc.) and aninput method comprising voice input provided to at least one audiocapture device associated with the electronic device (e.g., amicrophone, etc.). However, it should be understood that generally anyuser input method may be utilized and that the input may be provided todevices with or without display screens.

In an embodiment, the user input may be any type of input such as acommand input, query input, and the like. The user input may contain anindication to perform a function associated with content (e.g., anelectronic book, an article, a website, a social media post, a picture,a graph, etc.). For example, a user may ask a digital assistant to reada particular chapter in a book. Responsive to receiving this command,the digital assistant may access the appropriate chapter and may thenaudibly output the contents of that chapter. In an embodiment, thecontent may contain one or more images. For example, using theaforementioned example, the book may be a children's storybook and thechapter may contain a plurality of illustrations associated with thestory. In another embodiment, the content may exclusively comprise animage(s). For example, the content may be a picture file displayed on anindividual's social media account.

At 302, an embodiment may analyze an image in the content to determinecharacteristics associated with the image. The analysis may be conductedusing at least one of a variety of image analysis methods. In anembodiment, the analyzing may comprise extracting the characteristics byaccessing metadata associated with the content. For example, variousimages may be tagged with descriptive metadata that may provide a briefdescription related to the image contents, image origin date, globalpositioning coordinates associated with the image, and the like. Themetadata may be included with the image at the time the image isgenerated or may be included at a later date, for example, a user mayupdate the metadata with additional information after the image isgenerated.

In another embodiment, a system associated with a device may be trainedto recognize various individuals, objects, and/or other characteristicsassociated with an image by feeding the system a large amount of images(e.g., millions of images, etc.) with labels describing what is in eachof the images. For example, the system may be fed images of famouslandmarks and people with information identifying the landmark and/orpeople. Subsequent to the training phrase, an embodiment may be capableof identifying certain characteristics of a newly presented image ifthat image contains characteristics the system has previously beenexposed to and/or trained to recognize.

In yet another embodiment, various image processing techniques may beutilized in isolation or in conjunction with web search techniques todescribe the people and/or objects in the image. For example, anembodiment may conduct a web-based image search on an image included ina content. The image search may be conducted using an image searchengine (e.g., Google Images®, etc.). An embodiment may then use theresults from the search to determine image characteristics. Theaforementioned analysis methods may be used individually or incombination.

In an embodiment, responsive to identifying that at least one individualis present in the image, an embodiment may determine characteristicsassociated with the individual. For example, an embodiment may be ableto determine an individual's gender (e.g., man, woman, etc.), mood(e.g., happy, sad, etc.), ethnicity (e.g., by examining skin tone,facial features, etc.), posture (standing, sitting, slouching, etc.),clothing (e.g., color of clothing, type of clothing, etc.), and thelike. In an embodiment, responsive to identifying that at least oneobject is present in the image, an embodiment may be able to determinecharacteristics associated with the object. For example, an embodimentmay be able to determine an object's name (e.g., an object's genericname, (e.g., a rock, bush, pie chart, line, etc.) or an object's formalname in the case of famous objects, (e.g., Eifel Tower, Mount Rushmore,Empire State Building, etc.), etc.), location (e.g., in the case offamous objects, the geographical locations of those famous objects, theobject location relative to other objects or people in the image, etc.),color, size, and the like. In the case of a chart, graph, or othervisual data representation object, the system may identify differentchart features, for example, the chart legend, axes titles, colors oflines, resolution of the chart, and the like.

In an embodiment, the characteristics of the image may relate to otheraspects of the image not necessarily related to the content pictured inthe image. For example, additional image characteristics may compriseimage capture date (e.g., the date when the image was captured, etc.),image capture location (e.g., where the image was captured, etc.), imagetitle (e.g., a user-provided image title, etc.), and the like. Thesecharacteristics may be used to determine information related to thecontent of the image. For example, the system may identify the imagecapture location based on the metadata and correlate the image capturelocation to known geographical coordinates. The system may then identifya location where the image was captured.

If characteristics associated with the image can be determined at 303,an embodiment may provide, at 305, output including a description of theimage. In an embodiment, the output may comprise natural language outputand may be provided by an output device associated with the electronicdevice (e.g., a speaker, another output device, etc.). For example, anembodiment may audibly output the contents of an image to a user in auser's preferred language. In an embodiment, the output device may beintegral to the device or may be located on another device. In the caseof the latter, the output device may be connected via a wireless orwired connection to the device.

Embodiments of the underlying application may be able to audiblydescribe the contents of an image. For example, FIG. 4 illustrates anexample of an image 41 that may be found on a website. Responsive toreceiving a user instruction to describe the contents of the website, oran image on the website in particular, an embodiment may determinecharacteristics associated with the image and then generate outputincluding to the following: “This image shows two people, a man and awoman, standing near the Eiffel Tower on a partly cloudy day.” Asanother example, referring now to FIG. 5, a graphical image 51 isillustrated. Responsive to receiving a user instruction to describe thecontents of the image, an embodiment may generate output including tothe following: “This figure shows two curves on a two-dimensional plot,one in a solid line and the other in a dotted line. The solid line islabeled ‘sin (x)’ whereas the dashed line is labeled ‘cos (x)’.” As canbe recognized, the output may include a more detailed output than whatis described herein. The level of detail provided in the output may be,at least partially, based upon the image, preferences of the user,complexity of the image, importance of the image to the understanding ofthe remaining content, and the like.

In an embodiment, prior to providing an image description, an embodimentmay query a user as to whether they want to receive a description of aparticular image in a document. Subsequent to receiving a positiveresponse, an embodiment may then describe characteristics associatedwith the image to the user. An embodiment may also provide more specificoutput associated with an image's characteristics responsive toreceiving subsequent user inputs. For example, subsequent to providingthe aforementioned output associated with the image 41 in FIG. 4, anembodiment may receive additional user input such as “what are the twopeople wearing?”, “where are the two people positioned in relation tothe Eifel Tower?”, “when was the image taken?”, and the like. As anotherexample, subsequent to providing the aforementioned output associatedwith the image 51 in FIG. 5, an embodiment may receive additional inputsuch as “what is the x and y range on the graph?”, “what is the shape ofthe lines?”, and the like. An embodiment may process these subsequentuser inputs and provide corresponding output.

In situations where the content contains at least two images, anembodiment may be able to determine which of the images, if any, todescribe. For instance, a situation may arise where content may containmore than one image but only a single image is related to a user'sinput. For example, a website page may contain a plurality ofadvertisement related images disposed within and/or around the text ofthe webpage. An embodiment may determine (e.g., from context analysis,metadata attached to each of the images, etc.) that those advertisementsare irrelevant to a user's input (e.g., if a user commands the device toread the contents of the webpage, etc.) and may ignore them whenproviding output. Alternatively, an embodiment may determine that allimages are relevant to a user's input and may then provide outputdescribing each of those images. In such a scenario, an embodiment maydescribe the images chronologically (e.g., as they appear in thedocument, etc.), in an order based on a relevance score (e.g., certainimages may be more related to a user's input than other images and themore relevant images may be described first, etc.), and the like.

If characteristics associated with the images cannot be determined at303, an embodiment may provide, at 304, output that does not include adescription of an image. For example, responsive to a user commandrequesting a device to read a particular chapter in a book, if anembodiment determines that there are no images in that chapter, anembodiment may provide output only related to the text in the chapter.Alternatively, if an embodiment determines that there are images presentin content but that those images are not related to a user's originalinput, an embodiment may ignore those images when providing output. Asan additional example, the user may have provided previous inputindicating that images should not be described. As a further example,the system may be unable to determine characteristics of the image usingany image analysis techniques (e.g., the image may be corrupted, mayinclude security features preventing image reading, etc.), and maytherefore be unable to provide a description of the image.

The various embodiments described herein thus represent a technicalimprovement to conventional vocal recitation techniques. Specifically,the embodiments as described herein provide a technique for describingimages that is not possible with conventional techniques. As discussedbefore, conventional techniques do not provide a description of theimages, but rather skip the images or merely state that the contentcontains an image, but with no description of that image. Using thetechniques described herein, an embodiment may analyze characteristicsassociated with an image and then subsequently provide output associatedwith those characteristics to a user. Such techniques enable users thatmay not be able to interact with a display screen, or that utilize adevice without a display screen, to receive descriptive informationrelated to images in content.

As will be appreciated by one skilled in the art, various aspects may beembodied as a system, method or device program product. Accordingly,aspects may take the form of an entirely hardware embodiment or anembodiment including software that may all generally be referred toherein as a “circuit,” “module” or “system.” Furthermore, aspects maytake the form of a device program product embodied in one or more devicereadable medium(s) having device readable program code embodiedtherewith.

It should be noted that the various functions described herein may beimplemented using instructions stored on a device readable storagemedium such as a non-signal storage device that are executed by aprocessor. A storage device may be, for example, a system, apparatus, ordevice (e.g., an electronic, magnetic, optical, electromagnetic,infrared, or semiconductor system, apparatus, or device) or any suitablecombination of the foregoing. More specific examples of a storagedevice/medium include the following: a portable computer diskette, ahard disk, a random access memory (RAM), a read-only memory (ROM), anerasable programmable read-only memory (EPROM or Flash memory), anoptical fiber, a portable compact disc read-only memory (CD-ROM), anoptical storage device, a magnetic storage device, or any suitablecombination of the foregoing. In the context of this document, a storagedevice is not a signal and “non-transitory” includes all media exceptsignal media.

Program code embodied on a storage medium may be transmitted using anyappropriate medium, including but not limited to wireless, wireline,optical fiber cable, RF, et cetera, or any suitable combination of theforegoing.

Program code for carrying out operations may be written in anycombination of one or more programming languages. The program code mayexecute entirely on a single device, partly on a single device, as astand-alone software package, partly on single device and partly onanother device, or entirely on the other device. In some cases, thedevices may be connected through any type of connection or network,including a local area network (LAN) or a wide area network (WAN), orthe connection may be made through other devices (for example, throughthe Internet using an Internet Service Provider), through wirelessconnections, e.g., near-field communication, or through a hard wireconnection, such as over a USB connection.

Example embodiments are described herein with reference to the figures,which illustrate example methods, devices and program products accordingto various example embodiments. It will be understood that the actionsand functionality may be implemented at least in part by programinstructions. These program instructions may be provided to a processorof a device, a special purpose information handling device, or otherprogrammable data processing device to produce a machine, such that theinstructions, which execute via a processor of the device implement thefunctions/acts specified.

It is worth noting that while specific blocks are used in the figures,and a particular ordering of blocks has been illustrated, these arenon-limiting examples. In certain contexts, two or more blocks may becombined, a block may be split into two or more blocks, or certainblocks may be re-ordered or re-organized as appropriate, as the explicitillustrated examples are used only for descriptive purposes and are notto be construed as limiting.

As used herein, the singular “a” and “an” may be construed as includingthe plural “one or more” unless clearly indicated otherwise.

This disclosure has been presented for purposes of illustration anddescription but is not intended to be exhaustive or limiting. Manymodifications and variations will be apparent to those of ordinary skillin the art. The example embodiments were chosen and described in orderto explain principles and practical application, and to enable others ofordinary skill in the art to understand the disclosure for variousembodiments with various modifications as are suited to the particularuse contemplated.

Thus, although illustrative example embodiments have been describedherein with reference to the accompanying figures, it is to beunderstood that this description is not limiting and that various otherchanges and modifications may be affected therein by one skilled in theart without departing from the scope or spirit of the disclosure.

What is claimed is:
 1. A method, comprising: receiving, at aninformation handling device, user input, wherein the user inputcomprises an indication to perform a function associated with contentcomprising at least one image; analyzing, using a processor, the atleast one image to determine at least one characteristic associated withthe at least one image; and providing, based on the analyzing, outputdescribing the at least one characteristic of the at least one image. 2.The method of claim 1, wherein the providing output comprises providingaudible natural language output.
 3. The method of claim 1, wherein theanalyzing comprises extracting the at least one characteristic frommetadata associated with the content.
 4. The method of claim 1, whereinthe at least one image comprises at least one of at least one entity andat least one object.
 5. The method of claim 4, wherein the at least onecharacteristic comprises at least one characteristic associated with theat least one entity selected from the group consisting of: entity mood,entity ethnicity, entity posture, and entity clothing.
 6. The method ofclaim 4, wherein the at least one characteristic comprises at least onecharacteristic associated with the at least one object selected from thegroup consisting of: object name, object color, object size, and objectlocation.
 7. The method of claim 1, wherein the at least onecharacteristic comprises origin data associated with the at least oneimage.
 8. The method of claim 1, wherein the content comprises two ormore images.
 9. The method of claim 8, further comprising determiningwhich of the two or more images is a relevant image, wherein therelevant image is determined based upon the user input.
 10. The methodof claim 9, wherein the providing output comprises providing outputassociated with the relevant image.
 11. An information handling device,comprising: a processor; a memory device that stores instructionsexecutable by the processor to: receive user input, wherein the userinput comprises an indication to perform a function associated withcontent comprising at least one image; analyze the at least one image todetermine at least one characteristic associated with the at least oneimage; and providing, based on the analyzing, output describing the atleast one characteristic of the at least one image.
 12. The informationhandling device of claim 11, wherein the instructions executable by theprocessor to provide output comprise instructions executable by theprocessor to provide audible natural language output.
 13. Theinformation handling device of claim 11, wherein the instructionsexecutable by the processor to analyze comprise instructions executableby the processor to extract the at least one characteristic frommetadata associated with the content.
 14. The information handlingdevice of claim 11, wherein the at least one image comprises at leastone of at least one entity and at least one object.
 15. The informationhandling device of claim 14, wherein the at least one characteristiccomprises at least one characteristic associated with the at least oneentity selected from the group consisting of entity mood, entityethnicity, entity posture, and entity clothing.
 16. The informationhandling device of claim 14, wherein the at least one characteristiccomprises at least one characteristic associated with the at least oneobject selected from the group consisting of: object name, object color,object size, and object location.
 17. The information handling device ofclaim 11, wherein the at least one characteristic comprises origin dataassociated with the at least one image.
 18. The information handlingdevice of claim 11, wherein the content comprises two or more images.19. The information handling device of claim 18, wherein theinstructions are further executable by the processor to determine whichof the two or more images is a relevant image, wherein the relevantimage is determined based upon the user input.
 20. A product,comprising: a storage device that stores code, the code being executableby a processor and comprising: code that receives user input, whereinthe user input comprises an indication to perform a function associatedwith content comprising at least one image; code that analyzes the atleast one image to determine at least one characteristic associated withthe at least one image; and code that provides, based on the code thatanalyzes, output describing the at least one characteristic of the atleast one image.